Clusteval logo ClustEval clustering evaluation framework
Location: Clustering Methods » DensityCut » Best Parameters
Navigation:
027Hints:

Which parameter sets lead to the optimal clustering quality?

Please choose a clustering quality measure:
Dataset Best quality Parameter set
chang_pathbased 1.0 alpha=0.15630668934240363
K=2
chang_spiral 1.0 alpha=0.0930059523809524
K=10
fraenti_s3 0.982 alpha=0.9877929687500002
K=121
bone_marrow_fixLabels 0.873 alpha=0.4
K=2
fu_flame 1.0 alpha=0.8095238095238095
K=12
gionis_aggregation 1.0 alpha=0.0
K=13
veenman_r15 1.0 alpha=0.3059523809523809
K=29
zahn_compound 0.935 alpha=0.16404478458049887
K=3
synthetic_spirals 1.0 alpha=0.06505102040816325
K=2
synthetic_cassini 1.0 alpha=0.9375
K=3
twonorm_100d 0.267 alpha=0.4583333333333333
K=3
twonorm_50d 0.917 alpha=0.0
K=2
synthetic_cuboid 1.0 alpha=0.1220238095238095
K=12
bone_marrow 0.85 alpha=0.642063492063492
K=2